activity
20142026
collaborators

6 papers

cs.DC2026

Green or Fast? Learning to Balance Cold Starts and Idle Carbon in Serverless Computing

Bowen Sun, Christos D. Antonopoulos, Evgenia Smirni +3

Serverless computing simplifies cloud deployment but introduces new challenges in managing service latency and carbon emissions. Reducing cold-start latency requires retaining warm…

cs.AR2026

DPUConfig: Optimizing ML Inference in FPGAs Using Reinforcement Learning

Alexandros Patras, Spyros Lalis, Christos D. Antonopoulos +1

Heterogeneous embedded systems, with diverse computing elements and accelerators such as FPGAs, offer a promising platform for fast and flexible ML inference, which is crucial for…

cs.RO2025

Using Machine Learning to Take Stay-or-Go Decisions in Data-driven Drone Missions

Giorgos Polychronis, Foivos Pournaropoulos, Christos D. Antonopoulos +1

Drones are becoming indispensable in many application domains. In data-driven missions, besides sensing, the drone must process the collected data at runtime to decide whether addi…

cs.RO2025

Black-box Adversarial Attacks on CNN-based SLAM Algorithms

Maria Rafaela Gkeka, Bowen Sun, Evgenia Smirni +3

Continuous advancements in deep learning have led to significant progress in feature detection, resulting in enhanced accuracy in tasks like Simultaneous Localization and Mapping (…

cs.DC2021

Artificial neural networks for online error detection

Vassilis Vassiliadis, Konstantinos Parasyris, Christos D. Antonopoulos +2

Hardware reliability is adversely affected by the downscaling of semiconductor devices and the scale-out of systems necessitated by modern applications. Apart from crashes, this un…

cs.PL2014

A Programming Model and Runtime System for Significance-Aware Energy-Efficient Computing

Vassilis Vassiliadis, Konstantinos Parasyris, Charalambos Chalios +5

Reducing energy consumption is one of the key challenges in computing technology. One factor that contributes to high energy consumption is that all parts of the program are consid…